Design of Flood Early Detection Based on the Internet of Things and Decision Support System DOI Creative Commons
Muhammad Rizal,

Elly Warni,

Randy Angriawan

et al.

Ingénierie des systèmes d information, Journal Year: 2024, Volume and Issue: 29(3), P. 1183 - 1193

Published: June 20, 2024

Flooding is a natural disaster that has serious impact on humans, the environment, and economy.To reduce risk adverse impacts of flooding, this research aims to design an Internet Things (IoT) based early detection system integrated with decision support system.The proposed uses various types sensors, such as DHT22 monitor air temperature humidity, Ombrometer measure rainfall, Water Flow Sensor water flow, Ultrasonic detect changes in level.Data from these sensors will be collected real time analyzed predict potential flooding.In addition, have user interface facilitates monitoring decisionmaking by authorities.The use sensor data weather information warn decision-makers flooding appropriate action recommendations.This expected improve ability respond floods more effectively, thereby assisting protecting human lives, reducing economic floods.In contributes development IoT-based technologies systems context mitigation.

Language: Английский

A review of IoT applications in healthcare DOI Creative Commons
Chunyan Li, Jiaji Wang, Shuihua Wang‎

et al.

Neurocomputing, Journal Year: 2023, Volume and Issue: 565, P. 127017 - 127017

Published: Nov. 9, 2023

Integrating Internet of Things (IoT) technologies in the healthcare industry represents a transformative shift with tangible benefits. This paper provides detailed examination IoT adoption healthcare, focusing on specific sensor types and communication methods. It underscores successful real-world applications, including remote patient monitoring, individualized treatment strategies, streamlined delivery. Furthermore, it delves into intricate challenges to realizing full potential healthcare. includes addressing data security concerns, ensuring seamless interoperability, optimizing use IoT-generated data. The seeks inspire practitioners researchers by highlighting practical implications emphasizing ways can enhance care, resource allocation, overall efficiency.

Language: Английский

Citations

91
Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey DOI Creative Commons
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 145813 - 145852

Published: Jan. 1, 2023

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.

Language: Английский

Citations

60
A Digital Twin Dam and Watershed Management Platform DOI Open Access
DongSoon Park, Hojun You

Water, Journal Year: 2023, Volume and Issue: 15(11), P. 2106 - 2106

Published: June 1, 2023

This paper presents an innovative digital twin dam and watershed management platform, K-Twin SJ, that utilizes real-time data simulation models to support decision-making for flood response water resource management. The platform includes a GIS-based geospatial of the entire Sumjin river system in Korea, with high-precision topography facility information dams rivers (watershed area 4913 km2, length 173 km, 91 infrastructures). synchronizes such as rainfall, levels, flow rate, closed-circuit television (CCTV), incorporates three hydraulic hydrological efficient operation considering conditions. AI technology is also used predict level suggest optimal discharge scenarios. Additionally, geotechnical safety evaluation module levees, advanced drone monitoring rivers, CCTV video surveillance function. digital-twin-based supports smart responses contributes reducing flooding damage through better

Language: Английский

Citations

35
Enhancing resilience in agricultural production systems with AI-based technologies DOI
Member Joy Usigbe, Senorpe Asem-Hiablie, Daniel Dooyum Uyeh

et al.

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: 26(9), P. 21955 - 21983

Published: Aug. 11, 2023

Language: Английский

Citations

27
IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions DOI Creative Commons
Ahmad Alshami, Eslam Ali, Moustafa Elsayed

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 58427 - 58453

Published: Jan. 1, 2024

This comprehensive review explores IoT innovations in water, wastewater management, and water quality monitoring, emphasizing the transformative potential of these technologies. Combining sociometric systematic (SR) techniques, study analyzes scientometric trends co-occurrence networks linked to topics. Research primarily centers on aspects, averaging 15 articles annually since 2017, peaking at 24 2021. The SR unveils widespread use multiple sensors particularly level, flow, pH sensors. Common wireless technologies are emphasized for their role advancing real-time monitoring. Innovative protocols such as Sigfox Zigbee enhance sensor-IoT connectivity, improving communication infrastructure management. challenges hindering system efficiency data flow include sensor accuracy, energy optimization, reliability, interdisciplinary collaboration, coverage. Addressing gaps is crucial IoT-driven systems enhancing decision-making. guides practitioners integrating automation sustainability

Language: Английский

Citations

14
Integration of Smart Water Management and Photovoltaic Pumping System To Supply Domestic Water for Rural Communities DOI Creative Commons
Meita Rumbayan,

Imanuel Pundoko,

Sherwin R.U.A. Sompie

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: 25, P. 103966 - 103966

Published: Jan. 5, 2025

Language: Английский

Citations

1
A Survey of Blockchain Applications for Management in Agriculture and Livestock Internet of Things DOI Creative Commons
Yang Yang,

Min Lin,

Yangfei Lin

et al.

Future Internet, Journal Year: 2025, Volume and Issue: 17(1), P. 40 - 40

Published: Jan. 17, 2025

In the area of agriculture and livestock management, integration Internet Things (IoT) has emerged as a groundbreaking strategy to enhance operational efficiency advance intelligent process management. However, this sector faces significant challenges, including ambiguity in product origins limited regulatory oversight IoT devices. This paper explores innovative blockchain technology within agricultural IoT, highlighting how convergence significantly enhances security transparency. We provide an in-depth review latest applications advancements these domains, offering comprehensive analysis current state its implications. Furthermore, discusses potential future development trajectories emphasizing blockchain’s role addressing challenges shaping innovations. The findings suggest that not only improves data trustworthiness but also opens new avenues for efficient transparent management animal husbandry.

Language: Английский

Citations

1
IoT-Based Water Management Systems: Survey and Future Research Direction DOI Creative Commons
Shereen Ismail, Diana W. Dawoud,

Nadhem Ismail

et al.

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 35942 - 35952

Published: Jan. 1, 2022

The Internet of Things (IoT) sustainable solutions are the next generation methods for managing and monitoring valuable natural resources such as water. Research has focused on smart IoT-based water management system designs various types applications, including agricultural, industrial, residential, crude oil exploration sectors. To this end, unlike other surveys available in literature, work presents an all-encompassing analysis 43 papers published between 2014 2022 systems proposed to manage monitor four different sectors: oilfield In work, we also propose a new optical address gap particularly processes that require significant amounts stimulate production. employs advanced technique sensing transmitting collected data. Overall, provides seminal guide future research efforts integrating IoT field monitoring.

Language: Английский

Citations

33
Blockchain Opportunities for Water Resources Management: A Comprehensive Review DOI Open Access

Talat Kemal Satilmisoglu,

Yusuf Sermet,

Musa Kurt

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2403 - 2403

Published: March 14, 2024

Blockchain technology has been used for the digitalization of physical asset management and data processes in many areas industry academia, including water domain. Its potential as an immutable storage system smart contract integration provided a plethora use cases utility domain hydrology resources. This systematic review critically examines application blockchain field resources hydrology. By analyzing 104 academic publications 37 non-academic studies from 2017 to 15 October 2022, this paper identifies current state applications management, delineates their cases, assesses practical scalability. Despite theoretical promise enhancing governance, security, stakeholder trust, reveals noticeable gap between existence workable, real-time specifically management. The findings indicate that while effectively implemented various sectors, its adoption hydrological is still emerging, with limited empirical evidence support full-scale deployment. concludes call more research validate benefits, address scalability interoperability challenges, integrate networks sustainable practices.

Language: Английский

Citations

7
A Refined Supervision Model of Rice Supply Chain Based on Multi-Blockchain DOI Creative Commons
Xiangzhen Peng, Xin Zhang, Xiaoyi Wang

et al.

Foods, Journal Year: 2022, Volume and Issue: 11(18), P. 2785 - 2785

Published: Sept. 9, 2022

With the development of Agriculture 4.0, requirements for sustainable agriculture and precision continue to grow. As one three major staple foods globally, quality safety rice affect human health as well social development. To ensure reduce flow problematic rice, a multi-layer blockchain-based supply chain refinement supervision model MBRRSM (Multi-blockchain Rice Refined Supervision Model) is proposed from information level. First, characteristics in are analyzed, classification table key constructed. Second, framework designed. Based on multi-party hybrid encryption algorithm, secure computing multi-mode storage mechanism, SPOP (Supervision Proof Peers) consensus set mechanisms designed transmission, use, storage, data MBRRSM. Subsequently, security performance capabilities analyzed. Meanwhile, algorithm Finally, prototype system built based verified through exemplary scenarios different usage situations. The results show that research refined multi-blockchain can finely supervise all types chain, provide guarantee enterprise users safely transmit use with privacy levels. This study presents unique paradigm introduces theories methods new field generation into agricultural research, thus assists strategy implementation "holding grain land storing technology".

Language: Английский

Citations

28